ERP PACKAGE EVALUATION, THE CASE OF SMEs KAVALA’s REGION

In this paper we want to examine how enterprise resource planning (ERP) systemseffects on small and medium-sized enterprises (SMEs) Kavala’s region. We consider several SMEsof our region, we use data from each SME and we form a questionnaire to secure more data fromthe enterprises. We weight up the factors that affect the choice of ERP. Also, we relate these factorswith basic characteristics of the specific SMEs of our region. Flexibility and functionality are themost important criteria of choosing an ERP system. Surprisingly, the cost is one of the lessimportant criteria. Also, minor effects have criteria such as brand, name and position of the vendor.Finally, we indicate issues for future research.ERP, SMEs, criteria evaluation

A new model for the structure of the DACs and SACs regions in the Oe and Be stellar atmospheres

In this paper we present a new mathematical model for the density regions where a specific spectral line and its SACs/DACs are created in the Oe and Be stellar atmospheres. In the calculations of final spectral line function we consider that the main reasons of the line broadening are the rotation of the density regions creating the spectral line and its DACs/SACs, as well as the random motions of the ions. This line function is able to reproduce the spectral feature and it enables us to calculate some important physical parameters, such as the rotational, the radial and the random velocities, the Full Width at Half Maximum, the Gaussian deviation, the optical depth, the column density and the absorbed or emitted energy. Additionally, we can calculate the percentage of the contribution of the rotational velocity and the ions' random motions of the DACs/SACs regions to the line broadening. Finally, we present two tests and three short applications of the proposed model.Comment: 9 pages, 5 figures, accepted for publication in PAS

MultiTASC: A Multi-Tenancy-Aware Scheduler for Cascaded DNN Inference at the Consumer Edge

Cascade systems comprise a two-model sequence, with a lightweight model processing all samples and a heavier, higher-accuracy model conditionally refining harder samples to improve accuracy. By placing the light model on the device side and the heavy model on a server, model cascades constitute a widely used distributed inference approach. With the rapid expansion of intelligent indoor environments, such as smart homes, the new setting of Multi-Device Cascade is emerging where multiple and diverse devices are to simultaneously use a shared heavy model on the same server, typically located within or close to the consumer environment. This work presents MultiTASC, a multi-tenancy-aware scheduler that adaptively controls the forwarding decision functions of the devices in order to maximize the system throughput, while sustaining high accuracy and low latency. By explicitly considering device heterogeneity, our scheduler improves the latency service-level objective (SLO) satisfaction rate by 20-25 percentage points (pp) over state-of-the-art cascade methods in highly heterogeneous setups, while serving over 40 devices, showcasing its scalability.Comment: Accepted at 28th IEEE Symposium on Computers and Communications (ISCC), 202

Entropy – stagnation enthalpy interpolation tables for calculation of the critical flow properties of compressible fluids

High-pressure pipelines provide the most cost-effective and established method for long-distance transportation of large quantities of compressible fluids, such as natural gas, hydrogen and carbon dioxide. Given significant safety hazards associated with these pipelines, their design and operation requires using mathematical modelling tools quantifying consequences of accidental pipeline failure. Central to this is the accurate and robust prediction of the critical discharge flow from the pipeline, accounting for the real fluid thermodynamic behaviour, including the phase transition induced by the decompression process. In this work, a method of inverse interpolation tables is developed to calculate physical properties of compressible fluid, for use in a computational model of transient outflow from an accidently ruptured pipeline. In particular, the density – energy interpolation tables are applied to calculate the fluid pressure, temperature and phase composition as required for solving the mass, momentum and energy conservation equations describing the decompression flow inside pipeline, while the entropy – stagnation enthalpy interpolation tables are introduced to obtain the critical (choked) flow properties at the rupture section of the pipe. To construct the latter, the choked flow properties are calculated by solving simultaneously the total enthalpy conservation equation along with the constant entropy condition. The interpolation is performed using Akima splines fitted to the thermodynamic properties data predicted using highly-accurate Perturbed Chain-SAFT (PC-SAFT) equation of state. The interpolation tables are constructed for ethylene and carbon dioxide, covering pressures from 0.1 to 10 MPa and temperatures ranging from the triple point to 350 K. The study provides recommendations for the optimal resolution of the interpolation tables to achieve a balance between the accuracy and computational efficiency of the calculated physical properties. Practical implementation of the interpolation method in a pipeline decompression flow model is discussed. Acknowledgement. This research has received funding from the European Union’s Horizon 2020 Research & Innovation Programme under the Grant Agreement No 884418, and Qatar National Research Fund (a member of the Qatar Foundation) NPRP award 8-1339-2-569

Sediment Transport in the Koiliaris River of Crete

AbstractIn this paper, a study of the sediment transport in a complex Mediterranean watershed (i.e. the Koiliaris River Basin of Crete) consisting of temporary flow tributaries and karstic springs is presented. Both daily flow data (2005-2013) and monthly sediment concentration data (2011-2013) were used to calibrate the modified Soil and Water Assessment Tool (SWAT) model, designed to simulate the hydrology, sediment yield and water quality of ungauged watersheds, and augmented with a karst flow model in order to simulate the contribution of the extended karst to the spring discharge in the basin. The results showed good agreement between observed and model values for both flow and sediment concentration. However, since no data representative of high sediment concentration conditions were available, such as during extreme flow events, an automated sediment sampling device (Sediment Trap), which allows for flow weighted sampling, has been developed and is detailed in this paper. This device is undergoing testing to ensure it can provide accurate estimates of sediment yield, especially during a flush flood event when large amounts of sediment are carried downstream. The sediment measurements will then be used to calibrate and verify the sediment transport simulations of the Koiliaris River watershed generated by the SWAT model. The sediment transport simulations and the development of the automated sampling device were part of the preliminary work for the pilot application of the “Cybersensors” infrastructure in the Koiliaris River. The Cybersensors research project aims to develop an intelligent integrated monitoring system, which will utilize electrochemical and optical sensors, and will allow for high-frequency monitoring of the physical and chemical parameters of a river flow and thus the rapid detection of environmental change during episodic events, as well as for long term monitoring